diff --git a/src/more_math/FloatMathNode.py b/src/more_math/FloatMathNode.py
index f3a4c23..1e2b1e5 100644
--- a/src/more_math/FloatMathNode.py
+++ b/src/more_math/FloatMathNode.py
@@ -23,7 +23,7 @@ class FloatMathNode:
             Returns a LATENT object that contains the result of the math expression applied to the input conditionings.
     """
     def __init__(self):
-        print("FloatMathNode initialized")
+        pass
 
     @classmethod
     def INPUT_TYPES(s):
diff --git a/src/more_math/NoiseMathNode.py b/src/more_math/NoiseMathNode.py
index 015193e..7aebb02 100644
--- a/src/more_math/NoiseMathNode.py
+++ b/src/more_math/NoiseMathNode.py
@@ -122,7 +122,6 @@ class NoiseMathNode:
 
     
     def generate_noise(self, input_latent:torch.Tensor) -> torch.Tensor:
-        print(input_latent)
         if self.vb is None:
             self.vb = torch.zeros_like(input_latent["samples"])
         else:
diff --git a/src/more_math/Parser/TensorEvalVisitor.py b/src/more_math/Parser/TensorEvalVisitor.py
index fa68f8f..74f3e7a 100644
--- a/src/more_math/Parser/TensorEvalVisitor.py
+++ b/src/more_math/Parser/TensorEvalVisitor.py
@@ -9,7 +9,6 @@ class TensorEvalVisitor(MathExprVisitor):
         self.shape = shape
 
     def visitNumberExp(self, ctx):
-        print("Visiting number expression:", ctx.getText())
         return torch.full(self.shape,float(ctx.getText()))
 
     def visitConstantExp(self, ctx):
@@ -22,8 +21,6 @@ class TensorEvalVisitor(MathExprVisitor):
 
     def visitVariableExp(self, ctx):
         name = ctx.getText()
-        print("Visiting variable expression:", name)
-        print("Variable value:", self.variables[name])
         if name not in self.variables:
             raise ValueError(f"Variable '{name}' not found")
         if not isinstance(self.variables[name], torch.Tensor):  return torch.full(self.shape,self.variables[name])
@@ -130,7 +127,6 @@ class TensorEvalVisitor(MathExprVisitor):
         return torch.full(self.shape,torch.max(torch.stack(args)))
 
     def visitTMinFunc(self, ctx):
-        print("Visiting TMin function with args:", [a.getText() for a in ctx.expr()])
         return torch.minimum(self.visit(ctx.expr(0)),self.visit(ctx.expr(1)))
     def visitTMaxFunc(self, ctx):
         return torch.maximum(self.visit(ctx.expr(0)),self.visit(ctx.expr(1)))
@@ -148,5 +144,4 @@ class TensorEvalVisitor(MathExprVisitor):
         return self.visit(ctx.getChild(0))  # forward to Atan2Func, PowFunc, etc.
 
     def visitExpr(self, ctx):
-       print("Visiting expression:", ctx.getText())
        return self.visitChildren(ctx)